mlc-ai / relaxLinks
☆172Updated this week
Alternatives and similar repositories for relax
Users that are interested in relax are comparing it to the libraries listed below
Sorting:
- Standalone Flash Attention v2 kernel without libtorch dependency☆114Updated last year
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆127Updated last year
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆276Updated 6 months ago
- ☆130Updated last year
- llama INT4 cuda inference with AWQ☆54Updated last year
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆96Updated 4 months ago
- ☆141Updated last year
- ☆96Updated 10 months ago
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆44Updated 11 months ago
- Benchmark code for the "Online normalizer calculation for softmax" paper☆105Updated 7 years ago
- ☆120Updated last year
- ☆105Updated last year
- ☆152Updated last year
- Ahead of Time (AOT) Triton Math Library☆88Updated this week
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆154Updated 5 months ago
- OpenAI Triton backend for Intel® GPUs☆226Updated this week
- ☆222Updated last year
- ☆38Updated 6 months ago
- AI Accelerator Benchmark focuses on evaluating AI Accelerators from a practical production perspective, including the ease of use and ver…☆298Updated this week
- ☆34Updated last year
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆192Updated last year
- 🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.☆250Updated last week
- Fast and memory-efficient exact attention☆114Updated this week
- play gemm with tvm☆91Updated 2 years ago
- ☆60Updated last year
- GPTQ inference Triton kernel☆321Updated 2 years ago
- Development repository for the Triton language and compiler☆140Updated this week
- Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.☆72Updated last year
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆751Updated 6 months ago
- This is a demo how to write a high performance convolution run on apple silicon☆57Updated 4 years ago